Dicom MCP
dicom-mcp is a DICOM-based model context protocol server that provides tools for large language models to query and interact with medical imaging metadata. It supports the retrieval of patient information, examinations, series, and instances, as well as the extraction of text from DICOM-encapsulated PDFs.
2.5 points
9.8K

What is dicom-mcp?

dicom-mcp is a specialized server that allows AI systems to securely access and analyze medical imaging data stored in DICOM format. It acts as a bridge between AI assistants and hospital PACS systems, enabling querying of patient records, imaging studies, and clinical reports while maintaining DICOM security standards.

How to use dicom-mcp?

After installation and configuration, you can interact with the server through supported AI platforms (like Claude or Zed) using natural language commands. The server handles the technical DICOM communications while you focus on the medical questions.

Use Cases

Ideal for radiologists needing AI assistance, clinical researchers analyzing imaging databases, or healthcare AI developers building medical imaging applications. Common scenarios include patient record lookup, study comparison, and automated report analysis.

Key Features

Comprehensive DICOM Querying
Search across patient records, imaging studies, series and individual DICOM instances with flexible filtering options
Clinical Report Extraction
Automatically extract text from PDF reports stored in DICOM format for AI analysis
Multiple PACS Support
Configure and switch between different hospital PACS systems with different security requirements
Smart Attribute Presets
Predefined query templates (minimal/standard/extended) simplify accessing the most relevant DICOM metadata
Advantages
Standardized access to medical imaging data through DICOM protocols
No need to learn complex DICOM query syntax - use natural language
Secure connection following hospital PACS security requirements
Lightweight server that integrates with existing AI platforms
Limitations
Requires configuration by IT staff for hospital PACS connections
Limited to metadata and PDF extraction - doesn't process image pixels
Performance depends on PACS server response times
Currently supports only DICOM (not other medical data formats)

Getting Started

Installation
Install the server using pip package manager
Configuration
Create a YAML configuration file with your PACS connection details (see example in Resources)
Launch Server
Start the server pointing to your configuration file
Connect AI Platform
Configure your AI platform (Claude/Zed) to connect to the running server

Example Scenarios

Patient Record Lookup
Find all available information for a patient who may have multiple imaging studies
Report Analysis
Extract and analyze text from radiology reports
Study Comparison
Compare multiple studies for the same patient

Frequently Asked Questions

What DICOM servers are supported?
Is patient data stored by the server?
Can I view actual medical images?
How is patient privacy maintained?

Additional Resources

Official Documentation
Model Context Protocol specification
Sample Configuration
Example YAML configuration file
pynetdicom Library
Underlying DICOM library used by the server
DICOM Standard Overview
Introduction to DICOM medical imaging standard

Installation

Copy the following command to your Client for configuration
"mcpServers": {
  "dicom": {
    "command": "uv",
    "args": ["--directory", "/path/to/dicom-mcp", "run", "dicom-mcp", "/path/to/configuration.yaml"]
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.1K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.4K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.3K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.6K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.4K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
11.5K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
9.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.2K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
33.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.2K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.1K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
63.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.0K
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.6K
4.7 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.9K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase